Full-parameter and LoRA/QLoRA training on managed A100 GPUs. No PyTorch required.
Memory-efficient training — fine-tune 70B models on a single A100. Configure rank, alpha, target modules.
FSDP and DeepSpeed integration for multi-node, multi-GPU training on massive datasets.
Never lose progress. Resume training exactly where you left off if preempted.
A100 GPUs, private VPC, zero data egress. Your training data never leaves your environment.